Mian Guo

2.1k total citations
70 papers, 1.5k citations indexed

About

Mian Guo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mian Guo has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 27 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Mian Guo's work include MicroRNA in disease regulation (18 papers), Circular RNAs in diseases (11 papers) and Cancer-related molecular mechanisms research (10 papers). Mian Guo is often cited by papers focused on MicroRNA in disease regulation (18 papers), Circular RNAs in diseases (11 papers) and Cancer-related molecular mechanisms research (10 papers). Mian Guo collaborates with scholars based in China, United States and United Kingdom. Mian Guo's co-authors include Jiahang Sun, Shan Yu, Jia Shen, Min Lee, Benjamin M. Wu, Tara Aghaloo, Xiaoming Zhang, Guangzhi Wang, Sheng Tai and Zhiguo Lin and has published in prestigious journals such as Biomaterials, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Mian Guo

65 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mian Guo China 26 1.0k 646 214 163 153 70 1.5k
Fei Xue China 20 750 0.7× 370 0.6× 160 0.7× 95 0.6× 149 1.0× 67 1.3k
Jing Guo China 18 712 0.7× 369 0.6× 211 1.0× 108 0.7× 115 0.8× 72 1.3k
Linfeng Huang China 19 1.3k 1.3× 519 0.8× 110 0.5× 151 0.9× 129 0.8× 44 1.8k
Yongyan Wu China 28 1.5k 1.5× 729 1.1× 229 1.1× 59 0.4× 183 1.2× 78 2.0k
Xiaoran Liu China 20 748 0.7× 424 0.7× 310 1.4× 104 0.6× 157 1.0× 83 1.2k
Jungho Kim South Korea 20 1.2k 1.2× 349 0.5× 189 0.9× 96 0.6× 73 0.5× 54 1.6k
Dawne N. Shelton United States 19 961 1.0× 392 0.6× 262 1.2× 87 0.5× 339 2.2× 36 1.7k
Yun Peng China 17 1.1k 1.1× 374 0.6× 286 1.3× 161 1.0× 249 1.6× 65 1.9k

Countries citing papers authored by Mian Guo

Since Specialization
Citations

This map shows the geographic impact of Mian Guo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mian Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mian Guo more than expected).

Fields of papers citing papers by Mian Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mian Guo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mian Guo. The network helps show where Mian Guo may publish in the future.

Co-authorship network of co-authors of Mian Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Mian Guo. A scholar is included among the top collaborators of Mian Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mian Guo. Mian Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ju, Huanyu, et al.. (2025). Ruxolitinib suppresses tumor growth in PTEN-deficient glioblastoma by inhibiting the STAT3-PDL1 axis-mediated the M2 polarization of macrophages. International Immunopharmacology. 155. 114629–114629. 1 indexed citations
2.
Guo, Mian, et al.. (2024). Role of NADPH Oxidase 4 on Dry Eye Syndrome in Mice. Journal of Ocular Pharmacology and Therapeutics. 40(7). 452–458.
3.
Yao, Jiawei, Yang Li, Ke He, et al.. (2024). Integration of multi-omics data revealed the orphan CpG islands and enhancer-dominated cis-regulatory network in glioma. iScience. 27(10). 110946–110946.
4.
Wang, Yu, Yu Zhang, Jianchun Wang, et al.. (2023). Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model. Computers in Biology and Medicine. 159. 106955–106955. 5 indexed citations
5.
Liu, Bo, et al.. (2023). Proteomic analysis of anti-aging effects of Dendrobium nobile Lindl. alkaloids in aging-accelerated SAMP8 mice. Experimental Gerontology. 177. 112198–112198. 6 indexed citations
6.
7.
Newsome, Janice, Mian Guo, Scott Lee, et al.. (2021). Utilization and Comparative Effectiveness of Uterine Artery Embolization versus Hysterectomy for Severe Postpartum Hemorrhage: A National Inpatient Sample Study. Journal of Vascular and Interventional Radiology. 33(4). 427–435.e4. 6 indexed citations
8.
Villalobos, Alexander, W. Wagstaff, Mian Guo, et al.. (2021). Predictors of Successful Yttrium‐90 Radioembolization Bridging or Downstaging in Patients with Hepatocellular Carcinoma. Canadian Journal of Gastroenterology and Hepatology. 2021(1). 9926704–9926704. 7 indexed citations
9.
Chen, Lu, Chao Li, Rui Huang, et al.. (2020). The multifaceted roles of long noncoding RNAs in pancreatic cancer: an update on what we know. Cancer Cell International. 20(1). 41–41. 23 indexed citations
10.
Han, Ke, Miao Wang, Lei Zhang, et al.. (2019). Predicting Ion Channels Genes and Their Types With Machine Learning Techniques. Frontiers in Genetics. 10. 399–399. 16 indexed citations
11.
Yu, Shan, Juan Li, Chao Li, et al.. (2019). Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics. Scientific Reports. 9(1). 4467–4467. 18 indexed citations
12.
Wu, Dehai, Hao Liang, Shounan Lu, et al.. (2018). miR-124 Suppresses Pancreatic Ductal Adenocarcinoma Growth by Regulating Monocarboxylate Transporter 1-Mediated Cancer Lactate Metabolism. Cellular Physiology and Biochemistry. 50(3). 924–935. 44 indexed citations
13.
Wang, Guangzhi, Jia Shen, Jiahang Sun, et al.. (2017). Cyclophilin A Maintains Glioma-Initiating Cell Stemness by Regulating Wnt/β-Catenin Signaling. Clinical Cancer Research. 23(21). 6640–6649. 45 indexed citations
14.
Guo, Mian, et al.. (2017). Elevated microRNA-34a contributes to trophoblast cell apoptosis in preeclampsia by targeting BCL-2. Journal of Human Hypertension. 31(12). 815–820. 25 indexed citations
15.
Sun, Jiahang, Dawei Meng, Yang Xu, et al.. (2017). Antagomirs Targeting MicroRNA-134 Increase Limk1 Levels After Experimental Seizures in Vitro and in Vivo. Cellular Physiology and Biochemistry. 43(2). 636–643. 10 indexed citations
16.
Fan, Jiabing, Mian Guo, Joan Pi‐Anfruns, et al.. (2016). Enhanced Mandibular Bone Repair by Combined Treatment of Bone Morphogenetic Protein 2 and Small-Molecule Phenamil. Tissue Engineering Part A. 23(5-6). 195–207. 22 indexed citations
17.
Guo, Mian, Jia Shen, Jin Hee Kwak, et al.. (2015). Novel Role for Cyclophilin A in Regulation of Chondrogenic Commitment and Endochondral Ossification. Molecular and Cellular Biology. 35(12). 2119–2130. 15 indexed citations
18.
Shi, Liang, et al.. (2015). Serum levels of S-100β correlate with the clinical status and severity of hypoxic-ischemic encephalopathy in neonates. Genetics and Molecular Research. 14(4). 14760–14771. 3 indexed citations
19.
Guo, Mian, Xiaoming Zhang, Guangzhi Wang, et al.. (2015). miR-603 promotes glioma cell growth via Wnt/β-catenin pathway by inhibiting WIF1 and CTNNBIP1. Cancer Letters. 360(1). 76–86. 60 indexed citations
20.
Wang, Jianjiao, Yongri Zheng, Yan Zhao, et al.. (2012). Sox11 modulates neocortical development by regulating the proliferation and neuronal differentiation of cortical intermediate precursors. Acta Biochimica et Biophysica Sinica. 44(8). 660–668. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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